Open Access

ARTICLE

Blockchain for Securing Healthcare Data Using Squirrel Search Optimization Algorithm

B. Jaishankar^1,*, Santosh Vishwakarma², Prakash Mohan³, Aditya Kumar Singh Pundir⁴, Ibrahim Patel⁵, N. Arulkumar⁶
1 Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, 641407, India
2 Department of Computer Science and Engineering, National Institute of Technology, Arunachal Pradesh, 791112, India
3 Data Science and Analytics Centre, Karpagam College of Engineering, Coimbatore, 641032, India
4 Department of Electronics and Communication Engineering, Arya College of Engineering and Information Technology, Kukas, 302028, India
5 Department of Electronics and Communication Engineering, B V Raju Institute of Technology, Narsapur, 502313, India
6 Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India
* Corresponding Author: B. Jaishankar. Email:

Intelligent Automation & Soft Computing 2022, 32(3), 1815-1829. https://doi.org/10.32604/iasc.2022.021822

Received 15 July 2021; Accepted 19 October 2021; Issue published 09 December 2021

Abstract

The Healthcare system is an organization that consists of important requirements corresponding to security and privacy, for example, protecting patients’ medical information from unauthorized access, communication with transport like ambulance and smart e-health monitoring. Due to lack of expert design of security protocols, the healthcare system is facing many security threats such as authenticity, data sharing, the conveying of medical data. In such situation, block chain protocol is used. In this manuscript, Efficient Block chain Network for securing Healthcare data using Multi-Objective Squirrel Search Optimization Algorithm (MOSSA) is proposed to generate smart and secure Healthcare system. In this the block chain is a decentralized and the distributed ledger device that consists of various blocks linked with digital signature schemes, consensus mechanisms and chain of hashing, offers highly reliable storage capabilities. Further the block chain parameters, such as block size, transaction size and number of block chain channels are optimized with the help of MOSSA. With the evolution of the MOSSA provide new features for enhancing security and scalability. The simulation process is executed in the JAVA platform. The experimental result of the proposed method shows higher throughput of 26.87%, higher efficiency of 34.67%, lowest delay of 22.97%, lesser computational overhead of 37.03%, higher storage cost of 34.29% when compared to the existing method such as Block chain-ECIES-HSO, Block chain-hybrid GO-FFO, Block chain-SDN-HSO algorithm for healthcare technologies.

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Keywords

Multi-objective squirrel search optimization algorithm; Blockchain; healthcare; key generation; security

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Citations